Senior Data Engineer

The ideal candidate is an experienced data pipeline builder and data wrangler, will act as technical data engineering expert in international team (multilocation). He/she will actively participate in optimizing data systems or building them from the ground up for our oversee customers.

The Data engineer will be responsible for:

Develop and maintain data pipelines using ETL processes.

Work closely with data science team to implement data analytics pipelines.

Maintain security and data privacy, working closely with data protection officer.

Implement scalable architectural models for data processing and storage.

Build functionality for data ingestion from multiple heterogeneous sources in batch & realtime mode.

Help in scoping, estimation, and planning to for various projects in the enterprise.

Provide technical support to project teams as needed.

B.S. in Computer Science, related fields or commensurate work experience.

5+ years of relevant data engineering experience like Hadoop, Spark, Hive, HDFS, Pig… and ETL with large amounts of data.

Experience on complex regulatory data integration projects.

Solid knowledge and experience of data processing languages, such as SQL, Python, and/or Scala.

Hand on experience with real-time data stream platforms such as Kafka and Spark Streaming.

Experience on creating Slowly Changing Dimension type data tables in Hive using Spark framework.

Knowledge and experience on both relational databases (Oracle), NoSQL databases (e.g. MongoDB) and strong SQL querying skills, Performance Tuning are required.

Experience on Data Warehouse such as Teradata SQL, Informatica, Unix and Control-M.

Experience of data visualisation tools (e.g Tableau, Quantexa and SAS).

Knowledge of at least one cloud environment (Azure, GCP, AWS, IBM)

Agile based delivery knowledge

Excellent English communication – verbal, written, and presentation skills; adept at communicating and managing stakeholders at all levels.

Strong teambuilding skills and teamwork orientation.

Strong creative problem-solving skills.

Knowledge or experience on Azure Modern Data Warehouse platform (e.g., Azure Data Lake, Synapse Analytics, Azure Data Factory, Azure Databricks, Databricks Delta Lake, etc).

AZ-900: Microsoft Azure Fundamentals.

Azure Data Engineer – Associate.

Competitive salary, health insurance covered for employee and dependents

Working on international projects. Professional and dynamic working environment

Achieving valuable experience with variety projects, new technologies and hundreds of talents

Receiving training opportunities including many technical seminars and soft skill training courses

Good opportunity for promotion through regular performance review system

Hybrid work

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666